Empowering All-in-Loop Health Management of Spacecraft Power System in the Mega-Constellation Era via Human-AI Collaboration
Paper
•
2601.12667
•
Published
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 1 fields in line 50, saw 4
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 198, in _generate_tables
for batch_idx, df in enumerate(csv_file_reader):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__
return self.get_chunk()
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk
return self.read(nrows=size)
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1923, in read
) = self._engine.read( # type: ignore[attr-defined]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read
chunks = self._reader.read_low_memory(nrows)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 50, saw 4Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Spacecraft power system dataset for All-in-loop health management: work condition recognition, anomaly detection, fault localization, and forecasting/reconstruction.
The detailed information can be found at: https://diyi1999.github.io/XJTU-SPS/.
(1) XJTU-SPS for MR Sub-dataset (for Work Mode Recognition Task): Simulate working conditions such as Charge (CC), Shunt, Charge (CV), Joint, Idle, and Discharge, etc.
(2) XJTU-SPS for AD Sub-dataset (for Anomaly Detection Task): Simulate the situations when various anomalies occur during the operation, exceeding 700,000 timestamps.
(3) XJTU-SPS for FL or FD Sub-dataset (for Fault Localization / Fault Diagnosis Task): Simulate 17 types of fault scenarios, including partial component or branch open circuit of SA, BCR short circuit, and Bus insulation breakdown, etc.
(4) XJTU-SPS for F or R Sub-dataset (for Forecasting or Reconstruction Task): Six sub-files simulate the data of 4, 18, 24, 34, 90, and 94 orbits around the Earth, respectively, with a sampling frequency of 1Hz.
As far as we know, it is the first publicly available AIL HM dataset in the field, hope it can be helpful for you. Meanwhile, a simulation model corresponding to this dataset has also been established, which is developed according to the design principles and working mechanisms of real SPS, capable of restoring the operating status and dynamic characteristics of real SPS, further supporting researchers in fields such as digital twins and physics-informed neural networks.
if it is helpful for your research, you can cite the following works:
@misc{di2026empoweringallinloophealthmanagement,
title={Empowering All-in-Loop Health Management of Spacecraft Power System in the Mega-Constellation Era via Human-AI Collaboration},
author={Yi Di and Zhibin Zhao and Fujin Wang and Xue Liu and Jiafeng Tang and Jiaxin Ren and Zhi Zhai and Xuefeng Chen},
year={2026},
eprint={2601.12667},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2601.12667},
}
@article{DI2025113380,
title = {PhyGNN: Physics guided graph neural network for complex industrial power system modeling},
author = {Yi Di and Fujin Wang and Zhi Zhai and Zhibin Zhao and Xuefeng Chen},
year = {2025},
journal = {Mechanical Systems and Signal Processing},
volume = {240},
pages = {113380},
issn = {0888-3270},
doi = {https://doi.org/10.1016/j.ymssp.2025.113380},
url = {https://www.sciencedirect.com/science/article/pii/S0888327025010817},
keywords = {Physics guided graph neural network, Spacecraft power system, Multivariate time series, Complex industrial system},
}
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